AI Research Scientist

Namely; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Competitive salary

Meaningful equity ownership

Healthcare

Dental

Vision

401(k) match

Unlimited PTO

Job summary

P-1 AI is building an AI engineer agent for the physical world named Archie. We seek an exceptional AI Research Scientist to push the boundaries of AI applied to physical systems, blending cutting‑edge research with engineering implementation.

Join a small team of elite researchers in a fast‑moving environment, owning your applied research stream and contributing to strategy while delivering practical, production‑grade results.

Qualifications

• PhD (or equivalent) in CS/Robotics/Engineering or related field.
• Experience in continual learning, lifelong learning, meta-learning, online learning, RL, memory systems or related areas.
• Fluent in Python and ML stack (PyTorch/JAX) and distributed training frameworks.

Responsibilities

• Research and develop continual learning, fast adaptation, memory formation, and transfer learning for large-scale AI systems.
• Own the full development pipeline from data generation to evaluation to product integration.

Skills

Python

PyTorch

JAX

Continual learning

Meta-learning

Reinforcement learning

Memory systems

Transfer learning

Education

PhD in Computer Science / Robotics / Engineering

Tools

PyTorch

JAX

Job description

TL;DR:

• obsess over how intelligent systems learn, adapt, and improve over time;

• have a track record of exceptional research or engineering achievement;

• move effortlessly between papers, experiments, and production code;

• turn half-baked ideas into working systems…

About P-1 AI

At P-1 AI, we are building an AI engineer agent for the physical world named Archie. We maximize Archie's anthropomorphism so that he fits seamlessly into existing engineering teams and workflows in the form factor of a human engineer. Archie today is at the level of a junior mechanical and electrical engineer, with a quantitative intuition over the product design space and the ability to use complex engineering tools—the same tools his human teammates use. Archie's tech stack includes a custom agentic harness, structured design representation, continual skills learning, and small custom post-trained models (SFT and RLVR) using proprietary semi-synthetic training data sets and environments which create a deep competitive moat. Our ultimate aim is to build engineering ASI. We're backed in our mission by some of the top venture investors and AI luminaries.

About the opportunity

We're seeking an exceptional AI Research Scientist to join our small team of elite researchers and help us push the boundaries of AI applied to the physical world. This role blends cutting-edge AI research with hands‑on engineering, and is ideal for someone who thrives at the intersection of ideas and implementation.

About the role

• Research and develop approaches for continual learning, fast adaptation, memory formation, knowledge retention, and transfer learning in large-scale AI systems.

• Own the full development pipeline from data generation to evaluation to product integration.

• Contribute to both research strategy and technical implementation- this is a hands-on role. Have ownership over your own applied research stream.

• Investigate topics such as continual learning, online learning, test-time adaptation, memory architectures, meta-learning, self-improvement, and knowledge consolidation.

About you

• A PhD (or equivalent experience) in Computer Science, Robotics, Engineering, Math, or a related field.

• Have conducted research in one or more areas such as continual learning, lifelong learning, meta-learning, online learning, reinforcement learning, memory systems, model adaptation, transfer learning, or related fields.

• Are fluent in Python and modern ML stack such as PyTorch or JAX, and distributed training frameworks.

• Creative approach to bringing definition and solutions to under-specificed challenges.

• Are excited by fundamental questions around how intelligent systems acquire, retain, and use knowledge over time.

• Thrive in fast-moving, collaborative environments, and communicate technical matters with clarity.

• Take a high-ownership, 'make it work' approach to problem solving.

• Publications in top-tier venues.

Location

Onsite in San Mateo, CA. Relocation support available.

Benefits

Competitive salary, meaningful equity ownership, healthcare, dental, vision, 401(k) match, and unlimited PTO.

Interview process

• Initial screening call (30 mins)

• Biographical/behavioural interview (60 mins)

• Technical interview (75 mins)

• CEO interview (30 mins)